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ANR vs Text to STL

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

ANR compared with Text to STL
DetailANR logo ANRText to STL logo Text to STL
What it doesFaster frame generation with higher image quality than NVIDIA DLSS Frame Generation AI 3D models from text or reference images for 3D printing
StageMVP Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelOpen source Freemium
PricingNot given 20 free welcome credits on first sign-in. One-time credit packs: Starter $9.90 (100 credits), Maker $19.90 (300 credits), Creator $39.90 (700 credits), Pro $69.90 (1,400 credits), Studio $99.90 (2,200 credits). Monthly plans available with per-billing-period credit expiry.
Key features
  • 1.01ms per frame generation on NVIDIA RTX 5090 at 4K 2X
  • 214MB GPU memory at 4K
  • Super resolution support
  • Ray reconstruction capabilities
  • Native Metal support on Apple silicon
  • AI model generation from text description
  • Reference image input to guide model appearance
  • Choose between textured (Normal) or untextured (Geometry) models
  • Interactive 3D preview with rotation and zoom
  • Resize model with longest edge between 10 and 300 mm
  • Private model library with no fixed expiry
  • Free STL tools: STL Repair, 3MF to STL, GLB to STL, STL Viewer
What makes it different
  • Higher image quality than NVIDIA DLSS Frame Generation
  • Uses 62% less GPU memory than DLSS Frame Generation
  • Open source implementation available on GitHub
  • Generate 3D models from text alone or guided by reference images
  • Inspect models in interactive 3D preview before downloading
  • Private model storage with no automatic expiry or public gallery
  • Resizing and downloading existing results use no extra credits
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)10 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)222
Citation Flow (Majestic)2019
Referring domains (Majestic)206

4 details filled in for both companies.

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